The Journey to Copilot-Ready Analytics

What does it really take to make enterprise analytics truly ready for AI? In this session, we will explore how to evolve an existing Power BI environment into a fully conversational, AI-ready ecosystem. Even in mature analytics setups with advanced reporting capabilities, the inherent complexity of data models—often characterized by multiple fact tables and highly specialized business logic—can limit the effectiveness of out-of-the-box Copilot features.

We will showcase how Reply enabled this transformation through a “Semantic Restoration” approach, focusing on the redesign and enrichment of semantic models to unlock the full potential of Generative AI. By improving metadata quality, introducing advanced synonyms, and defining tailored AI instructions, complex and rigid structures are transformed into intuitive, AI-friendly assets. This session will demonstrate how organizations can bridge the gap between legacy data complexity and next-generation analytics, enabling users to interact with data in a more natural, seamless, and impactful way.